elosztásokat

elosztások, or distributions, is a fundamental concept in probability theory and statistics. It describes how likely different possible values of a random variable are to occur. Essentially, it's a function that assigns a probability to each outcome of an experiment. There are two main types of distributions: discrete and continuous.

Discrete distributions apply to random variables that can only take on a finite or countably infinite number of distinct values. Examples include the binomial distribution, which models the number of successes in a fixed number of independent trials, and the Poisson distribution, which models the number of events occurring in a fixed interval of time or space.

Continuous distributions, on the other hand, are used for random variables that can take on any value within a given range. The probability of any single specific value occurring is zero; instead, probabilities are assigned to intervals. The most well-known continuous distribution is the normal distribution, often referred to as the bell curve, which is characterized by its symmetrical shape and is frequently observed in natural phenomena. Other examples include the uniform distribution, where all values in an interval are equally likely, and the exponential distribution, often used to model the time until an event occurs. Understanding distributions is crucial for data analysis, statistical modeling, and making predictions.